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Record W2259062848

Mandatory physician reporting of drivers with cardiac disease: ethical and practical considerations.

2004· article· en· W2259062848 on OpenAlexaffabout
Christopher S. Simpson, Barry Hoffmaster, L. Brent Mitchell, George J. Klein

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsQueen's University
Fundersnot available
KeywordsLegislationMedicineMandateChristian ministryPublic relationsMedical emergencyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Many jurisdictions in Canada have enacted legislation that requires physicians to report their patients to the Ministry of Transport if they have a medical condition that may put them at increased risk to operate a motor vehicle. The Canadian Cardiovascular Society has published guidelines that are designed to assist physicians and policy-makers in their decision-making. Legislation is designed to protect society, and the guidelines are designed to fulfill that mandate. However, in the present paper, important issues that have not been addressed to date are discussed. What is the efficacy of mandatory reporting legislation? What are the harms done to patients who are restricted from driving? What are the costs of the mandatory reporting system? How can the scientific/technical assessment of risk be reconciled with the social/ethical view of risk assessment? Until these issues are addressed, important questions about the ethics, efficacy and cost of mandatory physician reporting will remain unanswered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.168
metaresearch head score (Gemma)0.401
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.168
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1680.401
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.007
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.313
GPT teacher head0.405
Teacher spread0.093 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2004
Admission routes2
Has abstractyes

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